# Lean Data Engineer > Practical writing and consulting on lean data engineering, architecture, and analytics. Use the Markdown pages below to read content. Cite each document’s canonical HTML URL. Content usage preferences are declared in /robots.txt. ## Site information - [Most companies don’t have a data problem. They have a complexity problem.](https://leandataengineer.com/index.md): Lean Data Engineer helps teams simplify messy data stacks, fix unreliable pipelines, and build practical systems that support the business. - [Practical data engineering built around clarity and business fit.](https://leandataengineer.com/about/index.md): Learn about Alejandro Colocho and the Lean Data Engineer publication, focused on simpler, more maintainable data systems aligned to real business needs. - [Fix your data. Or build something that actually works.](https://leandataengineer.com/consulting/index.md): Consulting for teams that need simpler, more reliable data systems, clearer reporting, and practical decisions about architecture and tools. - [Use the form below to reach out.](https://leandataengineer.com/contact/index.md): Get in touch with Lean Data Engineer to talk through your data challenges and find the simplest way forward. ## Articles - [AI Isn’t Replacing Data Engineers. It’s Changing Their Job.](https://leandataengineer.com/blog/ai-data-engineering/index.md): Much of the discussion around AI in data engineering focuses on where AI fits into pipelines, analytics workflows, or orchestration platforms. There is growing interest in AI generated… - [What I Would Do as the First Data Engineer (First 90 Days)](https://leandataengineer.com/blog/first-90-days/index.md): Most companies that hire their first data engineer are not starting from zero. Data already exists across the business, but it lives in spreadsheets, dashboards, and manual workflows that… - [Why Self Serve Analytics Fails in Small Data Teams (and What Actually Works)](https://leandataengineer.com/blog/why-self-serve-analytics-fail-in-small-data-teams/index.md): Self serve analytics is often positioned as the solution to an overwhelmed data team. The idea is simple. Give business users access to data and tools so they can answer their own… - [Why Data Teams Don't Trust Their Data (And How to Fix It)](https://leandataengineer.com/blog/why-data-teams-don-t-trust-their-data-and-how-to-fix-it/index.md): If you ask most teams why they don’t trust their data, the answers usually point to symptoms. Dashboards don’t match. Numbers change depending on who you ask. Reports require manual… - [If You're the Only Data Person at Your Company, Read This First](https://leandataengineer.com/blog/if-you-re-the-only-data-person-at-your-company-read-this-first/index.md): Being the only data person at a company is often framed as an opportunity. You get ownership, autonomy, and the chance to build something from the ground up. In practice, it tends to feel… - [You Probably Don't Need Apache Iceberg Yet](https://leandataengineer.com/blog/you-probably-don-t-need-apache-iceberg-yet/index.md): Most teams exploring Apache Iceberg are not actually dealing with the problems Iceberg was designed to solve. - [Streamlit vs Dash for Data Applications: Architecture, Tradeoffs, and When to Use Each](https://leandataengineer.com/blog/streamlit-vs-dash-for-data-applications-architecture-tradeoffs-and-when-to-use-each/index.md): As data teams move beyond dashboards and begin building internal tools, the problem shifts from visualizing data to operationalizing it. At that point, the question is no longer how to… - [From WhatsApp to Order System: How Distributors Should Scale Operations](https://leandataengineer.com/blog/from-whatsapp-to-order-system-how-distributors-should-scale-operations/index.md): Many small distributors do not begin with structured systems or formal processes. They build their operations around whatever allows them to move quickly and serve customers without… - [Lean Data Architecture: Designing Simple Analytics Systems That Scale](https://leandataengineer.com/blog/lean-data-architecture-designing-simple-analytics-systems-that-scale/index.md): The modern data tooling market is crowded. Each year new platforms promise faster pipelines, real time analytics, or infinite scalability. Spark clusters, streaming frameworks, lakehouses,… - [Why Order Management Tools Fail Small Distributors](https://leandataengineer.com/blog/why-order-management-tools-fail-small-distributors/index.md): For many small wholesale distributors, the search for better operational visibility eventually leads to order management software. These systems promise inventory tracking, automated order… - [Dash vs Streamlit vs React for Data Applications](https://leandataengineer.com/blog/dash-vs-streamlit-vs-react-for-data-applications/index.md): In many organizations data engineers eventually become the owners of dashboards that originally lived in BI tools like Power BI or Tableau. Over time the requirements for those dashboards… - [Analytic Tools for Wholesale Food Beverage Distributors](https://leandataengineer.com/blog/analytic-tools-for-wholesale-food-beverage-distributors/index.md): Many wholesale food and beverage distributors assume analytics requires complex dashboards, expensive software, or a dedicated data team. That belief can lead to unnecessary cost and… - [How Data Engineering Teams Can Reduce Costs in 2026: 5 Practical Checks](https://leandataengineer.com/blog/how-data-engineering-teams-can-reduce-costs-in-2026-5-practical-checks/index.md): A new year brings new challenges that will inevitably surface on your data engineering roadmap. The beginning of the year is a great moment to embrace lean data engineering principles and,… - [Five Reasons Why Postgres Should Be Your Data Warehouse in a Modern Data Stack](https://leandataengineer.com/blog/five-reasons-why-postgres-should-be-your-data-warehouse-in-a-modern-data-stack/index.md): Many teams assume they need a cloud data warehouse such as Redshift, BigQuery, or Snowflake in order to build a modern data stack. This assumption leads to unnecessary complexity and cost,… - [The Lean Table Format](https://leandataengineer.com/blog/the-lean-table-format/index.md): Hudi, Iceberg, and Delta are the hottest jargon in modern data lake design. They bring impressive capabilities to cloud object storage such as ACID transactions, schema evolution, time… - [Stop Paying for Distributed Frameworks You Don't Need](https://leandataengineer.com/blog/stop-paying-for-distributed-frameworks-you-don-t-need/index.md): Every week, I come across teams running massive PySpark clusters to process datasets that could easily fit on a single machine. The result? Bloated AWS bills and a false sense of “future… ## Optional - [Ideas on lean data engineering.](https://leandataengineer.com/blog/index.md): Articles on lean data engineering, practical architecture, analytics systems, and simpler data tools that match real business needs. - [Ideas on lean data engineering.](https://leandataengineer.com/blog/page/2/index.md): Articles on lean data engineering, practical architecture, analytics systems, and simpler data tools that match real business needs. - [Complete content](https://leandataengineer.com/llms-full.txt): All articles and site information in one document.